PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-09-15 10:22:10.554308+00:00 (UTC)
In US/Central Time, this is 2024-09-15 05:22:10.554308-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/b5f32eda52ccf2dc967a917c09cb18668a57c8bb41fcdc60768905f0013a9712.png
We are just generating a random time serie here.
../_images/f219c456222c5a6079b8ef7b704657a856415067d32601d2c9288ddf9d6f823a.png
../_images/0591cd3775ec40173e82e76fd06e4ba02d825338b906f7ac3636b1e76b19c2e2.png